Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	22730
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.1 MiB
Average record size in memory	144.0 B

Variable types

Numeric	13
Categorical	5

Alerts

`squareMeters` is highly overall correlated with `price`	High correlation
`price` is highly overall correlated with `squareMeters`	High correlation
`squareMeters` is highly skewed (γ1 = 79.25331443)	Skewed
`floors` is highly skewed (γ1 = 85.12232772)	Skewed
`made` is highly skewed (γ1 = 66.93441091)	Skewed
`id` is uniformly distributed	Uniform
`id` has unique values	Unique
`hasGuestRoom` has 1970 (8.7%) zeros	Zeros

Reproduction

Analysis started	2023-02-16 09:35:51.981509
Analysis finished	2023-02-16 09:36:42.254863
Duration	50.27 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

id
Real number (ℝ)

UNIFORM UNIQUE

Distinct	22730
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11364.5

Minimum	0
Maximum	22729
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1136.45
Q1	5682.25
median	11364.5
Q3	17046.75
95-th percentile	21592.55
Maximum	22729
Range	22729
Interquartile range (IQR)	11364.5

Descriptive statistics

Standard deviation	6561.7301
Coefficient of variation (CV)	0.57738837
Kurtosis	-1.2
Mean	11364.5
Median Absolute Deviation (MAD)	5682.5
Skewness	0
Sum	2.5831508 × 10⁸
Variance	43056302
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
15182	1	< 0.1%
15158	1	< 0.1%
15157	1	< 0.1%
15156	1	< 0.1%
15155	1	< 0.1%
15154	1	< 0.1%
15153	1	< 0.1%
15152	1	< 0.1%
15151	1	< 0.1%
Other values (22720)	22720	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
22729	1	< 0.1%
22728	1	< 0.1%
22727	1	< 0.1%
22726	1	< 0.1%
22725	1	< 0.1%
22724	1	< 0.1%
22723	1	< 0.1%
22722	1	< 0.1%
22721	1	< 0.1%
22720	1	< 0.1%

squareMeters
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	7319
Distinct (%)	32.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46586.218

Minimum	89
Maximum	6071330
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	89
5-th percentile	3760
Q1	20392.75
median	44484
Q3	71547
95-th percentile	93656
Maximum	6071330
Range	6071241
Interquartile range (IQR)	51154.25

Descriptive statistics

Standard deviation	49521.245
Coefficient of variation (CV)	1.063002
Kurtosis	9638.226
Mean	46586.218
Median Absolute Deviation (MAD)	25742
Skewness	79.253314
Sum	1.0589047 × 10⁹
Variance	2.4523537 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
925	19	0.1%
54369	17	0.1%
85184	17	0.1%
965	17	0.1%
44698	17	0.1%
46367	17	0.1%
36417	17	0.1%
25051	16	0.1%
4187	16	0.1%
8719	16	0.1%
Other values (7309)	22561	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	12	0.1%
111	1	< 0.1%
123	4	< 0.1%
137	4	< 0.1%
141	6	< 0.1%
149	5	< 0.1%
152	7	< 0.1%
153	2	< 0.1%
163	5	< 0.1%
176	2	< 0.1%

Value	Count	Frequency (%)
6071330	1	< 0.1%
146181	1	< 0.1%
99985	4	< 0.1%
99952	3	< 0.1%
99932	1	< 0.1%
99913	4	< 0.1%
99886	1	< 0.1%
99885	4	< 0.1%
99854	1	< 0.1%
99820	5	< 0.1%

numberOfRooms
Real number (ℝ)

Distinct	100
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.241091

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	25
median	47
Q3	75
95-th percentile	95
Maximum	100
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.226428
Coefficient of variation (CV)	0.58511173
Kurtosis	-1.1420077
Mean	48.241091
Median Absolute Deviation (MAD)	23
Skewness	0.11507951
Sum	1096520
Variance	796.73126
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26	935	4.1%
38	855	3.8%
86	642	2.8%
35	604	2.7%
58	581	2.6%
8	529	2.3%
49	481	2.1%
85	453	2.0%
84	384	1.7%
50	380	1.7%
Other values (90)	16886	74.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	126	0.6%
2	133	0.6%
3	168	0.7%
4	379	1.7%
5	299	1.3%
6	370	1.6%
7	234	1.0%
8	529	2.3%
9	142	0.6%
10	167	0.7%

Value	Count	Frequency (%)
100	213	0.9%
99	300	1.3%
98	242	1.1%
97	140	0.6%
96	123	0.5%
95	138	0.6%
94	102	0.4%
93	53	0.2%
92	91	0.4%
91	67	0.3%

hasYard
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	177.7 KiB

0	11913
1	10817

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22730
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11913	52.4%
1	10817	47.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11913	52.4%
1	10817	47.6%

Most occurring characters

Value	Count	Frequency (%)
0	11913	52.4%
1	10817	47.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22730	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11913	52.4%
1	10817	47.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	22730	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11913	52.4%
1	10817	47.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11913	52.4%
1	10817	47.6%

hasPool
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	177.7 KiB

0	12439
1	10291

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22730
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	12439	54.7%
1	10291	45.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	12439	54.7%
1	10291	45.3%

Most occurring characters

Value	Count	Frequency (%)
0	12439	54.7%
1	10291	45.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22730	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12439	54.7%
1	10291	45.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	22730	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12439	54.7%
1	10291	45.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12439	54.7%
1	10291	45.3%

floors
Real number (ℝ)

Distinct	101
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47.305983

Minimum	1
Maximum	6000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	25
median	45
Q3	69
95-th percentile	91
Maximum	6000
Range	5999
Interquartile range (IQR)	44

Descriptive statistics

Standard deviation	47.777207
Coefficient of variation (CV)	1.0099612
Kurtosis	10602.073
Mean	47.305983
Median Absolute Deviation (MAD)	22
Skewness	85.122328
Sum	1075265
Variance	2282.6615
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	792	3.5%
38	690	3.0%
50	657	2.9%
37	482	2.1%
49	470	2.1%
55	467	2.1%
41	456	2.0%
26	450	2.0%
8	443	1.9%
64	435	1.9%
Other values (91)	17388	76.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	163	0.7%
2	112	0.5%
3	133	0.6%
4	250	1.1%
5	367	1.6%
6	308	1.4%
7	282	1.2%
8	443	1.9%
9	223	1.0%
10	120	0.5%

Value	Count	Frequency (%)
6000	1	< 0.1%
100	175	0.8%
99	193	0.8%
98	217	1.0%
97	106	0.5%
96	106	0.5%
95	136	0.6%
94	78	0.3%
93	37	0.2%
92	31	0.1%

cityCode
Real number (ℝ)

Distinct	7810
Distinct (%)	34.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50013.796

Minimum	3
Maximum	491100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	3
5-th percentile	4151
Q1	22936
median	50414
Q3	76291
95-th percentile	95466
Maximum	491100
Range	491097
Interquartile range (IQR)	53355

Descriptive statistics

Standard deviation	30006.638
Coefficient of variation (CV)	0.59996721
Kurtosis	2.4418052
Mean	50013.796
Median Absolute Deviation (MAD)	26632
Skewness	0.2457956
Sum	1.1368136 × 10⁹
Variance	9.0039831 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1906	69	0.3%
42634	35	0.2%
42626	35	0.2%
3545	32	0.1%
426	31	0.1%
26389	30	0.1%
42653	29	0.1%
78116	28	0.1%
56267	26	0.1%
97769	24	0.1%
Other values (7800)	22391	98.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	2	< 0.1%
5	3	< 0.1%
24	4	< 0.1%
34	1	< 0.1%
38	3	< 0.1%
59	6	< 0.1%
63	1	< 0.1%
101	2	< 0.1%
120	7	< 0.1%
135	4	< 0.1%

Value	Count	Frequency (%)
491100	1	< 0.1%
465360	1	< 0.1%
201035	1	< 0.1%
200812	1	< 0.1%
200801	2	< 0.1%
146275	1	< 0.1%
99953	1	< 0.1%
99940	1	< 0.1%
99921	10	< 0.1%
99905	3	< 0.1%

cityPartRange
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.5850418

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	8
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.7395333
Coefficient of variation (CV)	0.49051259
Kurtosis	-1.1500556
Mean	5.5850418
Median Absolute Deviation (MAD)	2
Skewness	-0.093055751
Sum	126948
Variance	7.5050426
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	3255	14.3%
5	2957	13.0%
2	2262	10.0%
7	2237	9.8%
9	2224	9.8%
4	2169	9.5%
6	2134	9.4%
3	1925	8.5%
1	1889	8.3%
10	1678	7.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1889	8.3%
2	2262	10.0%
3	1925	8.5%
4	2169	9.5%
5	2957	13.0%
6	2134	9.4%
7	2237	9.8%
8	3255	14.3%
9	2224	9.8%
10	1678	7.4%

Value	Count	Frequency (%)
10	1678	7.4%
9	2224	9.8%
8	3255	14.3%
7	2237	9.8%
6	2134	9.4%
5	2957	13.0%
4	2169	9.5%
3	1925	8.5%
2	2262	10.0%
1	1889	8.3%

numPrevOwners
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.6207655

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	8
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.7130257
Coefficient of variation (CV)	0.48267904
Kurtosis	-1.10883
Mean	5.6207655
Median Absolute Deviation (MAD)	2
Skewness	-0.077110476
Sum	127760
Variance	7.3605085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
5	2868	12.6%
8	2639	11.6%
9	2458	10.8%
7	2437	10.7%
4	2376	10.5%
6	2363	10.4%
3	2065	9.1%
2	1985	8.7%
1	1790	7.9%
10	1749	7.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1790	7.9%
2	1985	8.7%
3	2065	9.1%
4	2376	10.5%
5	2868	12.6%
6	2363	10.4%
7	2437	10.7%
8	2639	11.6%
9	2458	10.8%
10	1749	7.7%

Value	Count	Frequency (%)
10	1749	7.7%
9	2458	10.8%
8	2639	11.6%
7	2437	10.7%
6	2363	10.4%
5	2868	12.6%
4	2376	10.5%
3	2065	9.1%
2	1985	8.7%
1	1790	7.9%

made
Real number (ℝ)

Distinct	33
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2008.0051

Minimum	1990
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	1990
5-th percentile	1994
Q1	2000
median	2006
Q3	2014
95-th percentile	2019
Maximum	10000
Range	8010
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	118.82678
Coefficient of variation (CV)	0.059176533
Kurtosis	4499.6461
Mean	2008.0051
Median Absolute Deviation (MAD)	7
Skewness	66.934411
Sum	45641955
Variance	14119.803
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
2000	3588	15.8%
2003	1156	5.1%
2014	1070	4.7%
2015	1036	4.6%
2007	1021	4.5%
2008	981	4.3%
2009	972	4.3%
2019	956	4.2%
2013	934	4.1%
2018	927	4.1%
Other values (23)	10089	44.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1990	77	0.3%
1991	30	0.1%
1992	59	0.3%
1993	651	2.9%
1994	628	2.8%
1995	631	2.8%
1996	822	3.6%
1997	592	2.6%
1998	719	3.2%
1999	588	2.6%

Value	Count	Frequency (%)
10000	5	< 0.1%
2021	110	0.5%
2020	595	2.6%
2019	956	4.2%
2018	927	4.1%
2017	741	3.3%
2016	910	4.0%
2015	1036	4.6%
2014	1070	4.7%
2013	934	4.1%

isNewBuilt
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	177.7 KiB

0	12093
1	10637

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22730
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	12093	53.2%
1	10637	46.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	12093	53.2%
1	10637	46.8%

Most occurring characters

Value	Count	Frequency (%)
0	12093	53.2%
1	10637	46.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22730	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12093	53.2%
1	10637	46.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	22730	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12093	53.2%
1	10637	46.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12093	53.2%
1	10637	46.8%

hasStormProtector
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	177.7 KiB

0	12274
1	10456

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22730
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	12274	54.0%
1	10456	46.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	12274	54.0%
1	10456	46.0%

Most occurring characters

Value	Count	Frequency (%)
0	12274	54.0%
1	10456	46.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22730	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12274	54.0%
1	10456	46.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22730	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12274	54.0%
1	10456	46.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12274	54.0%
1	10456	46.0%

basement
Real number (ℝ)

Distinct	4903
Distinct (%)	21.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5283.6466

Minimum	4
Maximum	91992
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	4
5-th percentile	683.35
Q1	2977.25
median	5359
Q3	7746
95-th percentile	9477.55
Maximum	91992
Range	91988
Interquartile range (IQR)	4768.75

Descriptive statistics

Standard deviation	3047.0844
Coefficient of variation (CV)	0.57670102
Kurtosis	93.568049
Mean	5283.6466
Median Absolute Deviation (MAD)	2386
Skewness	3.3366368
Sum	1.2009729 × 10⁸
Variance	9284723.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
874	96	0.4%
705	93	0.4%
4173	93	0.4%
8181	91	0.4%
783	82	0.4%
7739	68	0.3%
5359	61	0.3%
8174	61	0.3%
5275	60	0.3%
7253	58	0.3%
Other values (4893)	21967	96.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
6	2	< 0.1%
8	19	0.1%
10	5	< 0.1%
11	1	< 0.1%
14	2	< 0.1%
15	1	< 0.1%
16	9	< 0.1%
17	10	< 0.1%
23	3	< 0.1%

Value	Count	Frequency (%)
91992	1	< 0.1%
91978	1	< 0.1%
84333	1	< 0.1%
81851	1	< 0.1%
10000	18	0.1%
9997	1	< 0.1%
9989	1	< 0.1%
9988	5	< 0.1%
9985	5	< 0.1%
9984	2	< 0.1%

attic
Real number (ℝ)

Distinct	5167
Distinct (%)	22.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5067.9817

Minimum	1
Maximum	96381
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	1
5-th percentile	490
Q1	2599
median	4977
Q3	7652
95-th percentile	9433.5
Maximum	96381
Range	96380
Interquartile range (IQR)	5053

Descriptive statistics

Standard deviation	3097.3479
Coefficient of variation (CV)	0.61116005
Kurtosis	68.698849
Mean	5067.9817
Median Absolute Deviation (MAD)	2538
Skewness	2.8099634
Sum	1.1519522 × 10⁸
Variance	9593564.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4926	82	0.4%
9057	56	0.2%
7497	49	0.2%
989	46	0.2%
4910	46	0.2%
9188	44	0.2%
4146	42	0.2%
973	41	0.2%
8794	40	0.2%
779	38	0.2%
Other values (5157)	22246	97.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	< 0.1%
4	12	0.1%
5	3	< 0.1%
7	10	< 0.1%
8	23	0.1%
9	1	< 0.1%
10	12	0.1%
11	2	< 0.1%
12	5	< 0.1%
13	5	< 0.1%

Value	Count	Frequency (%)
96381	1	< 0.1%
71965	1	< 0.1%
71024	1	< 0.1%
71001	2	< 0.1%
30000	2	< 0.1%
10000	8	< 0.1%
9999	5	< 0.1%
9994	2	< 0.1%
9988	3	< 0.1%
9985	6	< 0.1%

garage
Real number (ℝ)

Distinct	896
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	530.46964

Minimum	4
Maximum	9017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	4
5-th percentile	125
Q1	297
median	515
Q3	767
95-th percentile	958
Maximum	9017
Range	9013
Interquartile range (IQR)	470

Descriptive statistics

Standard deviation	274.8406
Coefficient of variation (CV)	0.51810807
Kurtosis	38.674698
Mean	530.46964
Median Absolute Deviation (MAD)	238
Skewness	1.3787588
Sum	12057575
Variance	75537.357
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
377	222	1.0%
414	154	0.7%
404	127	0.6%
976	124	0.5%
308	120	0.5%
127	115	0.5%
424	109	0.5%
269	102	0.4%
775	101	0.4%
905	98	0.4%
Other values (886)	21458	94.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	2	< 0.1%
8	1	< 0.1%
100	8	< 0.1%
101	89	0.4%
102	4	< 0.1%
103	8	< 0.1%
104	65	0.3%
105	21	0.1%
106	43	0.2%
107	8	< 0.1%

Value	Count	Frequency (%)
9017	1	< 0.1%
2048	1	< 0.1%
1000	88	0.4%
999	37	0.2%
998	34	0.1%
997	30	0.1%
996	4	< 0.1%
995	14	0.1%
994	19	0.1%
993	14	0.1%

hasStorageRoom
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	177.7 KiB

0	12236
1	10494

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22730
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	12236	53.8%
1	10494	46.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	12236	53.8%
1	10494	46.2%

Most occurring characters

Value	Count	Frequency (%)
0	12236	53.8%
1	10494	46.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22730	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	12236	53.8%
1	10494	46.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	22730	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	12236	53.8%
1	10494	46.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	12236	53.8%
1	10494	46.2%

hasGuestRoom
Real number (ℝ)

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.1530576

Minimum	0
Maximum	10
Zeros	1970
Zeros (%)	8.7%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	5
Q3	8
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.0552462
Coefficient of variation (CV)	0.59289967
Kurtosis	-1.1432721
Mean	5.1530576
Median Absolute Deviation (MAD)	3
Skewness	-0.11777178
Sum	117129
Variance	9.3345291
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
8	2970	13.1%
4	2277	10.0%
5	2187	9.6%
7	2137	9.4%
6	2116	9.3%
2	2018	8.9%
0	1970	8.7%
9	1911	8.4%
3	1897	8.3%
10	1722	7.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1970	8.7%
1	1525	6.7%
2	2018	8.9%
3	1897	8.3%
4	2277	10.0%
5	2187	9.6%
6	2116	9.3%
7	2137	9.4%
8	2970	13.1%
9	1911	8.4%

Value	Count	Frequency (%)
10	1722	7.6%
9	1911	8.4%
8	2970	13.1%
7	2137	9.4%
6	2116	9.3%
5	2187	9.6%
4	2277	10.0%
3	1897	8.3%
2	2018	8.9%
1	1525	6.7%

price
Real number (ℝ)

Distinct	7421
Distinct (%)	32.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4634456.9

Minimum	10313.5
Maximum	10004278
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	177.7 KiB

Quantile statistics

Minimum	10313.5
5-th percentile	369764.1
Q1	2041739.1
median	4450823.4
Q3	7159919.5
95-th percentile	9369720.7
Maximum	10004278
Range	9993964.8
Interquartile range (IQR)	5118180.4

Descriptive statistics

Standard deviation	2925163.2
Coefficient of variation (CV)	0.63117714
Kurtosis	-1.2038013
Mean	4634456.9
Median Absolute Deviation (MAD)	2574827.7
Skewness	0.13139962
Sum	1.0534121 × 10¹¹
Variance	8.55658 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8522151.8	18	0.1%
107936.9	18	0.1%
362218.9	16	0.1%
2506485.7	16	0.1%
4473490.3	16	0.1%
6031090.9	16	0.1%
4641159.4	15	0.1%
6684800.8	15	0.1%
4590725.6	15	0.1%
5384554.6	15	0.1%
Other values (7411)	22570	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10313.5	12	0.1%
13229.1	4	< 0.1%
14431.3	1	< 0.1%
16799.2	1	< 0.1%
17363	3	< 0.1%
18985	1	< 0.1%
19638	1	< 0.1%
19788.5	2	< 0.1%
21201.1	4	< 0.1%
22160.2	7	< 0.1%

Value	Count	Frequency (%)
10004278.3	4	< 0.1%
10002945	1	< 0.1%
9999687.3	1	< 0.1%
9998411	2	< 0.1%
9998090.4	4	< 0.1%
9994093.4	1	< 0.1%
9989598.9	1	< 0.1%
9989210.1	4	< 0.1%
9988416.5	2	< 0.1%
9987501.4	5	< 0.1%

Auto

Heatmap
Table

	id	squareMeters	numberOfRooms	floors	cityCode	cityPartRange	numPrevOwners	made	basement	attic	garage	hasGuestRoom	price	hasYard	hasPool	isNewBuilt	hasStormProtector	hasStorageRoom
id	1.000	-0.008	0.004	-0.012	0.009	0.013	-0.001	0.010	0.003	0.002	0.010	0.003	-0.008	0.016	0.000	0.009	0.000	0.023
squareMeters	-0.008	1.000	0.091	0.059	0.022	-0.009	-0.007	0.131	-0.037	-0.008	-0.121	-0.010	0.998	0.000	0.000	0.000	0.000	0.000
numberOfRooms	0.004	0.091	1.000	0.076	-0.007	0.012	0.021	-0.033	0.024	0.025	0.065	-0.016	0.091	0.013	0.021	0.007	0.018	0.000
floors	-0.012	0.059	0.076	1.000	0.003	0.008	0.018	-0.056	0.009	0.003	0.035	-0.032	0.060	0.000	0.000	0.000	0.000	0.000
cityCode	0.009	0.022	-0.007	0.003	1.000	0.009	-0.005	0.015	0.003	0.018	0.006	0.003	0.021	0.000	0.000	0.009	0.000	0.000
cityPartRange	0.013	-0.009	0.012	0.008	0.009	1.000	0.021	0.008	-0.000	0.008	-0.001	0.018	-0.009	0.000	0.000	0.001	0.016	0.015
numPrevOwners	-0.001	-0.007	0.021	0.018	-0.005	0.021	1.000	0.016	-0.006	0.003	-0.005	0.013	-0.008	0.016	0.013	0.000	0.022	0.000
made	0.010	0.131	-0.033	-0.056	0.015	0.008	0.016	1.000	0.033	0.026	0.032	0.022	0.131	0.000	0.000	0.000	0.000	0.000
basement	0.003	-0.037	0.024	0.009	0.003	-0.000	-0.006	0.033	1.000	0.020	-0.018	0.018	-0.037	0.000	0.010	0.009	0.007	0.001
attic	0.002	-0.008	0.025	0.003	0.018	0.008	0.003	0.026	0.020	1.000	-0.032	0.014	-0.008	0.000	0.004	0.005	0.016	0.007
garage	0.010	-0.121	0.065	0.035	0.006	-0.001	-0.005	0.032	-0.018	-0.032	1.000	0.007	-0.122	0.000	0.000	0.007	0.010	0.000
hasGuestRoom	0.003	-0.010	-0.016	-0.032	0.003	0.018	0.013	0.022	0.018	0.014	0.007	1.000	-0.010	0.011	0.014	0.000	0.020	0.000
price	-0.008	0.998	0.091	0.060	0.021	-0.009	-0.008	0.131	-0.037	-0.008	-0.122	-0.010	1.000	0.031	0.033	0.021	0.020	0.015
hasYard	0.016	0.000	0.013	0.000	0.000	0.000	0.016	0.000	0.000	0.000	0.000	0.011	0.031	1.000	0.068	0.000	0.000	0.000
hasPool	0.000	0.000	0.021	0.000	0.000	0.000	0.013	0.000	0.010	0.004	0.000	0.014	0.033	0.068	1.000	0.032	0.013	0.015
isNewBuilt	0.009	0.000	0.007	0.000	0.009	0.001	0.000	0.000	0.009	0.005	0.007	0.000	0.021	0.000	0.032	1.000	0.023	0.027
hasStormProtector	0.000	0.000	0.018	0.000	0.000	0.016	0.022	0.000	0.007	0.016	0.010	0.020	0.020	0.000	0.013	0.023	1.000	0.016
hasStorageRoom	0.023	0.000	0.000	0.000	0.000	0.015	0.000	0.000	0.001	0.007	0.000	0.000	0.015	0.000	0.015	0.027	0.016	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	id	squareMeters	numberOfRooms	hasYard	hasPool	floors	cityCode	cityPartRange	numPrevOwners	made	isNewBuilt	hasStormProtector	basement	attic	garage	hasStorageRoom	hasGuestRoom	price
0	0	34291	24	1	0	47	35693	2	1	2000	0	1	8	5196	369	0	3	3436795.2
1	1	95145	60	0	1	60	34773	1	4	2000	0	1	729	4496	277	0	6	9519958.0
2	2	92661	45	1	1	62	45457	4	8	2020	1	1	7473	8953	245	1	9	9276448.1
3	3	97184	99	0	0	59	15113	1	1	2000	0	1	6424	8522	256	1	9	9725732.2
4	4	61752	100	0	0	57	64245	8	4	2018	1	0	7151	2786	863	0	7	6181908.8
5	5	30300	36	0	0	35	19069	8	4	1998	1	0	8181	1826	589	0	0	3033117.8
6	6	19341	95	1	0	37	23939	9	6	2017	0	0	7173	9233	101	0	3	1944096.7
7	7	58110	3	1	0	1	67658	8	4	2003	1	0	3164	3389	499	1	5	5814953.3
8	8	20537	84	0	1	44	9560	3	10	1994	0	0	5026	7669	191	0	9	2056267.4
9	9	89396	35	1	1	96	33928	6	7	1993	0	0	7936	2956	414	0	1	8949480.3

	id	squareMeters	numberOfRooms	hasYard	hasPool	floors	cityCode	cityPartRange	numPrevOwners	made	isNewBuilt	hasStormProtector	basement	attic	garage	hasStorageRoom	hasGuestRoom	price
22720	22720	60886	17	0	0	5	28735	5	4	2005	0	1	4510	9402	146	0	2	6090272.5
22721	22721	10919	67	1	0	84	78116	9	4	1994	0	1	1920	1906	558	0	7	1100481.4
22722	22722	35498	32	1	0	41	18325	2	3	2000	1	1	783	1154	965	1	10	3661032.0
22723	22723	16361	8	0	1	84	68388	1	2	1993	0	1	3049	198	638	1	10	1647116.3
22724	22724	13073	81	0	1	69	42152	4	6	2020	1	1	8290	8164	424	1	8	1316580.1
22725	22725	55825	84	1	0	70	12031	3	10	2000	0	0	4477	786	345	0	0	5594137.1
22726	22726	65870	88	1	0	49	23197	9	9	2015	0	1	4811	2454	755	0	7	6594705.0
22727	22727	93192	42	1	0	39	8539	10	5	2014	1	0	5595	4072	789	0	0	9321511.4
22728	22728	65797	86	1	0	89	23197	2	10	2000	1	0	5358	2513	411	0	0	6584708.2
22729	22729	82244	18	1	0	38	86728	1	9	2018	1	0	6294	1291	572	0	6	8231424.8

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample